Machine Learning, an application of Artificial Intelligence, allows the software applications to become accurate in predicting the outcomes. It also helps to focus on the development of computer language and programs. Below given are some of the areas where deep learning, a subcategory of machine learning will make progression.

FREMONT, CA: Machine learning and AI are no longer the subject matter of science fiction. Instead, they are the transforming forces behind billion-dollar industries, like autonomous-driving cars, medical diagnosing, and anti-terrorism. As far-ranging as the applications of machine learning are, there are distinct trends to watch. These trends are significant in that they impact finances, society, and even the judiciary system.

Deep learning, a sub of machine learning, has had exciting progress in the last few years, especially in supervised learning tasks in the computer vision, language, and speech. The coming years will be focused on developing new methods that will address its current shortcomings.

Primarily, Controllable generative models of images, videos, text, and other data sources will be a significant focus. Disentanglement of the control inputs and extrapolation beyond the training data will be challenging. It cannot be accomplished through memorization. Uncertainty quantification will be another critical challenge. Current generative models like GANs does not offer reasonable uncertainty estimates.

Secondly, Synthetic data/simulations will be an essential source for training data in data-limited applications like robotics and autonomous driving. Since simulations will not be entirely accurate, algorithms will be needed for robust a real transfer and fine-tuning in the real domain.

Lastly, AI will move more to the edge. It will require aggressive model compression and real-time processing. Not every AI training will be done on the cloud as it is today. Some learning will move to the edge. Machine learning in the wild, algorithms that quickly adapt to changes in data distribution and other environmental conditions will need to be developed further.

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